Senior Storage Solutions Architect for AI & HPC

DDN

Paris

On-site

EUR 70,000 - 110,000

Full time

14 days+
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Job summary

DDN in Paris, a leader in data storage and AI infrastructure, seeks a Sales Engineer to architect high‑performance storage solutions across finance, pharma, education and research.

You will translate customer requirements into scalable designs, demonstrate capabilities through POCs and benchmarks, and act as a trusted advisor throughout the sales cycle. Collaborate with Product and Engineering teams, stay current on AI storage trends, and help shape product direction with customer insights.

Qualifications

  • Bachelor's degree in CS, Engineering, or related field, or equivalent experience.
  • Experience translating customer requirements into technical storage solutions.
  • Ability to communicate complex technical concepts to engineers and executives.
  • Experience with AI/ML infrastructure or HPC is a plus.
  • Prior pre-sales or solutions architecture experience.

Responsibilities

  • Engage with customers to understand data challenges across domains.
  • Translate requirements into scalable storage designs.
  • Lead live demos, POCs, and performance benchmarks.
  • Create BOMs and technical proposals for complex RFPs.
  • Collaborate with Product and Engineering teams and mentor others.

Skills

Storage architectures
Pre-sales experience
Technical communication
S3/NFS/SMB protocols
Kubernetes / cloud platforms
AI/ML workloads

Education

Bachelor's in Computer Science or related field

Tools

GPU clusters
Cloud platforms
RFPs/BOMs

Job description

DDN in Paris, a leader in data storage and AI infrastructure, seeks a Sales Engineer to architect high‑performance storage solutions across finance, pharma, education and research.

You will translate customer requirements into scalable designs, demonstrate capabilities through POCs and benchmarks, and act as a trusted advisor throughout the sales cycle. Collaborate with Product and Engineering teams, stay current on AI storage trends, and help shape product direction with customer insights.

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